Design and performance evaluation of multilevel inverter for solar energy systems and electric vehicle charging with multi output active clamp forward converter by Adupa Chandramouli, Siva Chidambaranathan V.

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A Survey on Video Compression Optimization Techniques for Accuracy Enhancement in Video Analytics Applications (VAPs) by Kholidiyah Masykuroh, Hendrawan, Eueung Mulyana, Farhan Krishna

“…In addition, we assess perceptual quality using Just Noticeable Distortion (JND) and Mean Opinion Score (MOS). …”
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An induction machine‐based drive system and supervisory control for application to smart water‐pumped storage and networks by O. S. Ebrahim, M. A. Badr

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Artificial intelligence-based assessment of surgical skills in laparoscopic right hemicolectomy for colon cancer by WEI Pengyu, GAO Jiale, JI Maotong, TAN Yuanyuan, YAO Hongwei

“…With the rapid advancement of artificial intelligence (AI) technologies (particularly breakthroughs in computer vision and deep learning algorithms), a revolutionary technical foundation has been established for developing objective and precise automated surgical evaluation systems. …”
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Educational Technologies in Modern Higher Education Institutions (Analysis of Russian and Foreign Research and Practice) by N. V. Bordovskaia, E. A. Koshkina, N. A. Bochkina

“…It has been established that Russian authors are still more oriented towards describing the characteristics and algorithms of predominantly traditional educational technologies and their applicability, evaluating their effectiveness through influencing students’ professional and personal development and competent communication. …”
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Providing QoS and Resiliency for Video Streaming Over MPTCP by Shadi Bikas, Muge Sayit

“…The proposed method aims to deliver seamless streaming sessions by enhancing resilience and maintaining QoS under challenging network conditions. We evaluate the proposed approach using Dynamic Adaptive Streaming over HTTP (DASH), a widely used video streaming application that delivers high-quality media content over the Internet. …”
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Integrated Evaluation and error decomposition of four gridded precipitation products using dense rain gauge observations over the Yunnan-Kweichow Plateau, China by Tianjian Lu, Qingquan Xiao, Hanyu Lu, Jintong Ren, Yongyi Yuan, Xiaoshan Luo, Zhijie Zhang

“…Evaluating the precision and applicability of high-quality precipitation products in the distinctive terrain and intricate climate of the Yunnan-Kweichow Plateau (YKP) is pivotal for climate research. …”
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Compensation of Speckle Noise in 2D Images from Triangulation Laser Profile Sensors Using Local Column Median Vectors with an Application in a Quality Control System by Paweł Rotter, Dawid Knapik, Maciej Klemiato, Maciej Rosół, Grzegorz Putynkowski

“…In this article, we propose an effective method for suppressing speckle noise in profilometer images of flat surfaces, based on local column median vectors. The method was evaluated across a variety of surface types and compared against existing approaches using several metrics, including the standard deviation of the column mean vector (SDCMV), frequency spectrum analysis, and standard image quality assessment measures. …”
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Speech Signal Enhancement Techniques by Chouki Zegar, Abdelhakim Dahimene

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GP4ESP: a hybrid genetic algorithm and particle swarm optimization algorithm for edge server placement by Fang Han, Hui Fu, Bo Wang, Yaoli Xu, Bin Lv

“…In addition, existing algorithms ignored the computing delay of edge servers (ESs) on request process, resulting in overestimation of the service quality. …”
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Early detection of Cercospora beticola and powdery mildew diseases in sugar beet using uncrewed aerial vehicle-based remote sensing and machine learning by Koç Mehmet Tuğrul, Rıza Kaya, Kemal Özkan, Merve Ceyhan, Uğur Gürel, Fatih Yavuz Fidantemiz

“…The study was accomplished by capturing images of uncrewed aerial vehicle (UAV) in field conditions. To effectively evaluate different detection methods in agricultural contexts, the study targeted two key areas: (1) monitoring Cercospora in fields without pesticide application, utilizing the Metos climate station early warning system alongside UAV-based image analysis, and (2) monitoring powdery mildew, which involved visual disease detection and targeted spraying based on UAV image processing. …”
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Performance and applicability of low-cost PM sensors to assess global pollution variability through machine learning techniques by Rajat Sharma, Andry Razakamanantsoa, Ashutosh Kumar, Thaseem Thajudeen, Agnès Jullien

“…Air quality monitoring and analyses became easy and affordable due to emergence of low-cost sensors. …”
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Masked face image segmentation using a multilevel threshold with a hybrid fitness function by Nada AbdElFattah Ibrahim, Ehab R. Mohamed, Hanaa M. Hamza, Yousef S. Alsahafi, Khalid M. Hosny

“…Five metrics were used to evaluate the algorithm's performance: MSE, PSNR, SSIM, FSIM, and image quality index. …”
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Student Performance Prediction Using Machine Learning Algorithms by Esmael Ahmed

“…Modern learning institutions face challenges in analyzing performance, providing high-quality education, formulating strategies for evaluating students’ performance, and identifying future needs. …”
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Fast autoscaling algorithm for cost optimization of container clusters by José María López, Joaquín Entrialgo, Manuel García, Javier García, José Luis Díaz, Rubén Usamentiaga

“…We have conducted an experimental evaluation to assess the effectiveness of FCMA, using the ILP model and two heuristics as a baseline. …”
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Investigation of treatment delay in a complex healthcare process using physician insurance claims data: an application to symptomatic carotid artery stenosis by Stephen Christopher van Gaal, Arshia Alimohammadi, Mohammad Ehsanul Karim, Wei Zhang, Jason Sutherland

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Monitored Reconstruction: Computed Tomography as an Anytime Algorithm by Konstantin Bulatov, Marina Chukalina, Alexey Buzmakov, Dmitry Nikolaev, Vladimir V. Arlazarov

“…We outline the theoretical framework for the monitored reconstruction, propose ways of constructing stopping rules for various reconstruction quality metrics and provide their experimental evaluation. …”
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A new relaxation technique based on fractional representation to solve bilinear models: Application to the long horizon crude oil scheduling problem by Mohammad Nasir Yarahmadi, Seyyed Ali MirHassani, Farnaz Hooshmand

“…Our method is also applied to the crude oil scheduling problem as an application. The results confirm the efficiency of the proposed algorithm from both solution quality and running time.…”
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Innovative hybrid algorithm for efficient routing of limited capacity vehicles by Vu Hong Son Pham, Van Nam Nguyen, Nghiep Trinh Nguyen Dang

“…Through computational evaluations in various scenarios, including five case studies ranging from small to large, the algorithm demonstrates its superior ability to generate high-quality solutions, especially as the customer base expands. …”
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Comparative analysis of image hashing algorithms for visual object tracking by Vitalii Naumenko, Sergiy Abramov, Vladimir Lukin

“…Subject of the research – visual object tracking using various image hashing algorithms for real-time tracking tasks. The goal of this study is to evaluate the tracking success and processing speed of existing and new hashing algorithms for object tracking and to identify the most suitable algorithms to be used under limited computational resources. …”
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